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Top-down signals

3 results

Newest first

Responses to inconsistent stimuli in pyramidal neurons: An open science dataset

Colleen J. Gillon, Jérôme A. Lecoq, Jason E. Pina et al. · COSYNE 2023

…apical dendrites receive primarily top-down signals from associative and motor regions, while the cell bodies and nearby dendrites of these same pyramidal neurons are mostly targeted by bottom-up or locally recurrent inputs from the sensory periphery. Due to these differences, a number of theories in computational neuroscience postulate a unique role for apical dendrites in shaping sensory processing and plasticity in the face of new or surprising stimul

ePoster · Brain Imaging

Learning Cortical Hierarchies With Temporal Hebbian Updates

Matilde Tristany Farinha, Pau Vilimelis Aceituno, Reinhard Loidl, Benjamin Grewe · COSYNE 2023

…learn such abstractions through top-down signals that drive synaptic plasticity. This is commonly done with backpropagation, an algorithm that is considered biologically implausible. In this work, we present a novel dynamic target propagation framework for hierarchical learning that uses Differential Hebbian (DH) updates, a rate-based version of Spike-Time-Dependent Plasticity. Our framework is based on the Deep Feedback Control (D

ePoster · Computational Neuroscience

The self-consistent nature of visual perception

Alan Stocker · University of Pennsylvania

…laboratory that investigates the role top-down signals play in establishing such coherent perceptual experience. Based on the results of several psychophysical experiments I will introduce a theory of “self-consistent inference” and show how it can account for human perceptual behavior. The talk will close with a discussion of how th

Wed, Dec 8, 2021 · 13:00 UTC

Seminar · Cognition